ArticleCancer informatics2014
A pan-cancer analysis of alternative splicing events reveals novel tumor-associated splice variants of matriptase.
Article in Cancer informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Biological Effects of Calceolarioside A as a Natural Compound: Anti-Ovarian Cancer, Anti-Tyrosinase, and Anti-HMG-CoA Reductase Potentials with Molecular Docking and Dynamics Simulation Studies.Molecular biotechnology · 2026Article
- Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing.Computational and structural biotechnology journal · 2021Review
- A computational pipeline to infer alternative poly-adenylation from 3' sequencing data.Methods in enzymology · 2021Article
- Comprehensive Analysis of Prognostic Alternative Splicing Signatures in Endometrial Cancer.Frontiers in genetics · 2020Article
- Complementarity of assembly-first and mapping-first approaches for alternative splicing annotation and differential analysis from RNAseq data.Scientific reports · 2018Article
- RNA processing as an alternative route to attack glioblastoma.Human genetics · 2017Review
- SURVIV for survival analysis of mRNA isoform variation.Nature communications · 2016Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput transcriptome sequencing allows identification of cancer-related changes that occur at the stages of transcription, pre-messenger RNA (mRNA), and splicing. In the current study, we devised a pipeline to predict novel alternative splicing (AS) variants from high-throughput transcriptome sequencing data and applied it to large sets of tumor transcriptomes from The Cancer Genome Atlas (TCGA). We identified two novel tumor-associated splice variants of matriptase, a known cancer-associated gene, in the transcriptome data from epithelial-derived tumors but not normal tissue. Most notably, these variants were found in 69% of lung squamous cell carcinoma (LUSC) samples studied. We confirmed the expression of matriptase AS transcripts using quantitative reverse transcription PCR (qRT-PCR) in an orthogonal panel of tumor tissues and cell lines. Furthermore, flow cytometric analysis confirmed surface expression of matriptase splice variants in chinese hamster ovary (CHO) cells transiently transfected with cDNA encoding the novel transcripts. Our findings further implicate matriptase in contributing to oncogenic processes and suggest potential novel therapeutic uses for matriptase splice variants.
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